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openvino/docs/get_started/get_started_dl_workbench.md

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Quick Start with OpenVINO™ Toolkit via Deep Learning Workbench

The OpenVINO™ toolkit is a comprehensive toolkit for optimizing pretrained deep learning models to achieve high performance and prepare them for deployment on Intel® platforms. Deep Learning Workbench (DL Workbench) is the OpenVINO™ toolkit UI designed to make the production of pretrained deep learning models significantly easier.

Start working with the OpenVINO™ toolkit right from your browser: import a model, analyze its performance and accuracy, visualize the outputs, optimize and prepare the model for deployment in a matter of minutes. DL Workbench will take you through the full OpenVINO™ workflow, providing the opportunity to learn about various toolkit components.

User Goals

  • Learn what neural networks are, how they work, and how to examine their architectures with more than 200 deep learning models.
  • Measure and interpret model performance right after the import​.
  • Tune the model for enhanced performance.
  • Analyze the quality of your model and visualize output.
  • Use preconfigured JupyterLab* environment to learn OpenVINO™ workflow.

Run DL Workbench

You can [run DL Workbench](@ref workbench_docs_Workbench_DG_Install) on your local system or in the Intel® DevCloud for the Edge. Ensure that you have met the [prerequisites](@ref workbench_docs_Workbench_DG_Prerequisites).

Run DL Workbench on your local system by using the installation form. Select your options and run the commands on the local machine:

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Once DL Workbench is set up, open the http://127.0.0.1:5665 link.

Watch the video to learn more detailed information on how to run DL Workbench:

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    • .. raw:: html

    • Inference Engine Concept. Duration: 3:43

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    • .. raw:: html

    • Inference Engine Concept. Duration: 3:43

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Congratulations, you have installed DL Workbench. Your next step is to [Get Started with DL Workbench](@ref workbench_docs_Workbench_DG_Work_with_Models_and_Sample_Datasets) and create your first project.

See Also

  • [Get Started with DL Workbench](@ref workbench_docs_Workbench_DG_Work_with_Models_and_Sample_Datasets)
  • [DL Workbench Overview](@ref workbench_docs_Workbench_DG_Introduction)
  • [DL Workbench Educational Resources](@ref workbench_docs_Workbench_DG_Additional_Resources)
  • OpenVINO™ Toolkit Overview